Factors associated with development and persistence of post-COVID conditions: A cross-sectional study

  1. Yusuke Miyazato
  2. Shinya Tsuzuki
  3. Shinichiro Morioka
  4. Mari Terada
  5. Satoshi Kutsuna
  6. Sho Saito
  7. Yumiko Shimanishi
  8. Kozue Takahashi
  9. Mio Sanada
  10. Masako Akashi
  11. Chika Kuge
  12. Yasuyo Osanai
  13. Keiko Tanaka
  14. Michiyo Suzuki
  15. Kayoko Hayakawa
  16. Norio Ohmagari

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Abstract

No abstract available

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  1. Version published to 10.1016/j.jiac.2022.04.025
  2. ScreenIT

    SciScore for 10.1101/2021.09.22.21263998: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsConsent: Informed consent was confirmed by marking the consent checkbox on the questionnaire.
    IRB: This study was reviewed and approved by the Ethics Committee of the Center Hospital of the National Center for Global Health and Medicine (NCGM) (NCGM-G-004121-00)
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data were analyzed using Stata BE 17.0 (StataCorp, College Station, TX, USA) and R, version 4.0.5 (R Foundation for Statistical Computing; 2018, Vienna, Austria).
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Our study has several limitations. First, this study relied on patient self-reports and, therefore, might have been subject to recall bias. Second, some patients reported on-going/chronic and late-onset symptoms at the time of the questionnaire survey. In these cases, the actual duration of the symptoms was unclear, and it is likely that this study underestimated the duration of these symptoms. Long-term observation is needed to better understand the duration of a long COVID. Third, although a previous study indicated that severity of illness was a risk factor for developing fatigue [2], being severe was not a risk factor for developing fatigue in this study. This is partly because most of the participants in our study were mild cases, and the number of severe cases was markedly small. Further studies are needed to clarify whether the severity of illness is a risk factor for the development and persistence of long COVID. In conclusion, our cross-sectional questionnaire survey evaluated patients after recovery from COVID-19, most of whom had mild disease, for the development and persistence of long COVID. Women were at risk for development of fatigue, dysosmia, dysgeusia, and hair loss, and were at risk for persistence of dysgeusia and any symptoms associated with COVID-19. Younger age and low BMI were found to be at risk of developing dysosmia and dysgeusia. In addition, about a quarter of the participants had at least one prolonged symptom for more than six months, indicatin...

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    Results from scite Reference Check: We found no unreliable references.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2021.09.22.21263998v1 on medRxiv